Call for a OIST-UIUC staff scientist or a postdoc position

At the MLDS unit in OIST led by Prof. Makoto Yamada and the Trustworthy ML group in UIUC led by Prof. Han Zhao, we are looking for a staff scientist or postdoc to conduct machine learning research in particular for the trustworthy ML field. Below are the details of the position. This position is equivalent to the official Postdoc/Staff scientist call in OIST.

Position Summary

The successful candidates will develop new computationally efficient trustworthy machine learning algorithms and optimal transport methods with closely collaborating with OIST and UIUC research groups. The successful candidate will stay most of his/her time at OIST and works closely with Prof. Zhao remotely. The candidate can stay at UIUC campus for a couple of months per year to closely collaborate with Prof. Zhao.

Location

1919‐1 Tancha, Onna‐son, Okinawa, Japan 904-0495

Responsibilities

• Develop machine learning models for high-dimensional, real-world applications
• Develop machine learning models for trustworthy ML and/or optimal transport methods, and apply the proposed methods to real-world applications.
• Pursue your own scientific interests in a highly collaborative environment.
• Write research papers and develop software in Python. ​
• (For staff scientist applicants) Mentor younger scientists.

Qualifications (Required)

• PhD in Computer Science, a related technical field
• Experience in Machine Learning, computer vision, and natural language processing, or related fields.
• Programming knowledge (e.g., Python or C++)
• (For staff scientist applicants) Strong research background and publications in top tier computer science conference or journal including ICML, NeurIPS, AISTATS, ICLR, and/or JMLR.

Qualifications (Preferred)

• Strong research background and publications in top tier computer science conference or journal including ICML, NeurIPS, AISTATS, ICLR, and/or JMLR
• Ability to design new research problems.
• Experience in collaboration with non-machine learning experts.

​Report to

Associate Professor Makoto Yamada, Machine Learning and Data Science Unit

Starting Date

As early as possible, or negotiable

Term & Working Hours

Full-time, the position is initially for three years and can be extended to 2 more years based on performance and mutual agreement.

Compensation & Benefits

Compensation in accordance with the OIST Employee Compensation Regulations

Benefits:

• Relocation, housing and commuting allowances
• Annual paid leave and summer holidays
• Health insurance (Private School Mutual Aid http://www.shigakukyosai.jp/ )
• Welfare pension insurance (kousei-nenkin) Worker’s accident compensation insurance (roudousha-saigai-hoshou-hoken)

Application Due Date

Application deadline will continue until the position is filled. (Applications will be screened upon arrival)

Declaration

OIST Graduate University is an equal opportunity, affirmative action educator and employer and is committed to increasing the diversity of its faculty, students and staff. The University strongly encourages applications from underrepresented groups. Information provided by applicants or references will be kept confidential, documents will not be returned. Please view OIST policy for rules on external professional activities Further details about the University can be viewed on the OIST website www.oist.jp.

Submission Documents

• Cover Letter (Option)
• CV including the publication list
• Summary of research experience and research plan (2-4 pages)

* Prior to the start of employment all new hires are required to successfully complete a background check. Personal information including employment history and academic background should be submitted to third-party administrators after a conditional offer of employment.